Neural Networks for Beginners. A fast implementation in Matlab, Torch, TensorFlow. Machine Learning by Unitary Tensor Network of Hierarchical Tree Structure. Revisiting Unsupervised Learning for Defect Prediction. Learning Chinese Word Representations From Glyphs Of Characters. Query-Based Abstractive Summarization Using Neural Networks. Active Lea …

Deep Detection of People and their Mobility Aids for a Hospital Robot. Contour and Centreline Tracking of Vessels from Angiograms using the Classical Image Processing Techniques. Learning to Learn from Weak Supervision by Full Supervision. Learning Relevant Features of Data with Multi-scale Tensor Networks. Exploiting the potential of unlabeled end …

Hyperparameters Optimization in Deep Convolutional Neural Network / Bayesian Approach with Gaussian Process Prior. Solving the Resource Constrained Project Scheduling Problem Using the Parallel Tabu Search Designed for the CUDA Platform. Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods …

User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient. Spiking Optical Flow for Event-based Sensors Using IBM’s TrueNorth Neurosynaptic System. Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics. Improving Robustness of Feature Representations to Image Deformations using Powered Convolution …

Logic Tensor Networks for Semantic Image Interpretation. Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation. Batch-Based Activity Recognition from Egocentric Photo-Streams. A Survey on Hardware Implementations of Visual Object Trackers. Continuous State-Space Models for Optimal Sepsis Trea …

An Online Learning Approach to Buying and Selling Demand Response. Learning Spherical Convolution for Fast Features from 360° Imagery. Time-Contrastive Learning Based DNN Bottleneck Features for Text-Dependent Speaker Verification. Tensor network language model. AppTechMiner: Mining Applications and Techniques from Scientific Articles. Scale-Space …

Emergence of Locomotion Behaviours in Rich Environments. Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives. PAC-Bayesian Margin Bounds for Convolutional Neural Networks. Towards Neural Phrase-based Machine Translation. Regret Minimization for Partially Observable Deep Reinforceme …

Efficient Policy Learning. Bayesian Optimization for Probabilistic Programs. Dendritic error backpropagation in deep cortical microcircuits. Reinforcement Learning with Deep Energy-Based Policies. Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary. A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networ …

Multi-Level Discovery of Deep Options. LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks. Making up for the deficit in a marathon run. Language Design as Information Renormalization. Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis. Testing Piecewis …

The Use of Autoencoders for Discovering Patient Phenotypes. On the Generalized Essential Matrix Correction: An efficient solution to the problem and its applications. D-SLATS: Distributed Simultaneous Localization and Time Synchronization. Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks. Reduction of Overfitting in Di …

People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting. Restricted Recurrent Neural Tensor Networks: Exploiting Word Frequency and Compositionality. Visual to Sound: Generating Natural Sound for Videos in the Wild. Reverse Classification Accuracy: Predicting Segmentation Performa …